Online adaptive neural control of a robotic lower limb prosthesis

JA Spanias, AM Simon, SB Finucane… - Journal of neural …, 2018 - iopscience.iop.org
Objective. The purpose of this study was to develop and evaluate an adaptive intent
recognition algorithm that continuously learns to incorporate a lower limb amputee's neural …

Intent recognition of torso motion using wavelet transform feature extraction and linear discriminant analysis ensemble classification

A Kadrolkar, FC Sup IV - Biomedical signal processing and control, 2017 - Elsevier
In this paper, a multi-sensor, multi-classifier approach for intent recognition of human torso
motion is presented. A linear discriminant analysis based classifier is used, and the …

Across-day lower limb pattern recognition performance of a powered knee-ankle prosthesis

AM Simon, EA Seyforth… - 2018 7th IEEE …, 2018 - ieeexplore.ieee.org
Powered lower limb prostheses have the capabilities to assist individuals with a lower limb
amputation during ambulation. While these devices can generate power at the knee and/or …

Locomotion Decoding (LocoD)–an Open-Source and Modular Platform for Researching Control of Lower Limb Assistive Devices

B Ahkami, MB Kristoffersen… - Morten Bak and Ortiz …, 2023 - papers.ssrn.com
Abstract Background and Objective: Commercially available motorized prosthetic legs use
exclusively non-biological signals to control movements, such as those provided by load …

Multi-Classifier Fusion Strategy for Activity and Intent Recognition of Torso Movements

A Kadrolkar - 2016 - scholarworks.umass.edu
As assistive, wearable robotic devices are being developed to physically assist their users, it
has become crucial to develop safe, reliable methods to coordinate the device with the …